By Professor Jie Bao

Conference Presentations

Bao J, 2025, 'Advanced Monitoring and Control of the Aluminum Smelting Process (Keynote presentation)', presented at The 3rd International Conference on Mineral Engineering and Materials Science, Sydney, 26 November 2025 - 28 March 2026, https://icmems.net.au/

Bao J, 2024, 'Big Data-driven Control – Integrating Machine Learning with Behavioral Systems Theory (Keynote presentation)', presented at Engineering Conference on AI for Process Manufacturing, Shanghai, China, 08 November 2024 - 10 November 2024

Bao J, 2023, 'Monitoring and Control of Industrial Processes - Where Control Theory Meets Practice (Plenary talk)', presented at International Symposium on Simulation and Modelling of Particulate Systems, Suzhou, China, 25 August 2023 - 28 August 2023

Wei L; McCloy R; Bao J, 2021, 'Control Contraction Metric Synthesis for Discrete-time Nonlinear Systems (Keynote presentation)', presented at 11th IFAC International Symposium on Advanced Control of Chemical Processes, Venice, Italy, 13 June 2021 - 16 June 2021

Bao J; Skyllas-Kazacos M, 2020, 'Self-interest Distributed Economic Model Predictive Control for Renewable Energy Generation and Battery Energy Storage', presented at The International Coalition for Energy Storage and Innovation, Sydney, 02 March 2020 - 04 March 2021

Akter MP; Bao J; Skyllas-Kazacos M, 2020, 'Charging Control of Vanadium Redox Batteries Under Time-Varying Input Power with Optimal Flow-Rate', presented at The International Coalition For Energy Storage And Innovation (ICESI-2020), Sydney, Australia, 02 March 2020 - 05 March 2020

Bao J, 2019, 'A Distributed Optimization-based Control Approach to Flexible Operation of Plantwide Chemical Plants (Keynote presentation)', presented at Chinese Automation Congress, Hangzhou, China, 23 November 2019 - 25 November 2019

Bao J, 2016, 'Plantwide Control Using Network of Autonomous Controllers - A Dissipativity Theory Approach (Keynote presentation)', presented at 27th Chinese Process Control Conference, Lanzhou, 30 July 2016 - 01 August 2016

Bao J, 2014, 'Plantwide Process Control by Distributed Controller Networks – A Dissipativity Theory Approach (Invited keynote speech)', presented at CHEMECA 2014, Perth, 28 September 2014 - 01 October 2014, http://www.icheme.org/chemeca2014

Bao J, 2014, 'Monitoring the Operation of Aluminium Smelter Cells using Individual Anode Current Measurements (Keynote presentation)', presented at 6th Annual High Temperature Processing Symposium, 2014, Melbourne, 03 February 2014 - 04 February 2014

Ratnayake P; Setiawan R; Bao J; Wiley D; Fimbres G, 2013, 'Fourier Analysis of Mass Transfer Enhancement using Wall Forced Slip Velocity', presented at 8th International Membrane Science & Technology Conference, Melbourne, Australia, 25 November 2013 - 29 November 2013

Bao J, 2012, 'Plant-wide Control: Challenges and Recent Developments (Invite keynote presentation)', presented at Process Control and Design In Mining Conference 2012, Brisbane, 19 September 2012 - 20 September 2012

Bao J, 2012, 'Analysis of Collective Dynamics of Particulate Systems Modelled by Markov Chains (Keynote presentation)', presented at International Symposium on Advanced Control of Chemical Processes, Singapore, 10 July 2012 - 13 July 2012

Reports

Bickert G; Bao J; Setiawan R; Tan CK, 2013, Advanced Dynamic Control for Paste Thickeners - First stage for control of complete CHPP's, Australia Coal Association Research Program, C21055, https://www.acarp.com.au/abstracts.aspx?repId=C21055

Patents

Bao J; Welch B; Akhmetov S; Yao Y; Cheung C-Y; Banjab AJ; Skyllas - Kazacos M; Kazacos M, 2023, METHOD OF MONITORING INDIVIDUAL ANODE CURRENTS IN AN ELECTROLYTIC CELL SUITABLE FOR THE HALL-HEROULT ELECTROLYSIS PROCESS, Patent No. Canada - CA3012163; Europe/France/Germany/Iceland/Norway - 3417094; Gulf Cooperation Council - GC0013656;, Patent Agent:Canadian Patent Office, https://www.ic.gc.ca/opic-cipo/cpd/eng/patent/3012163/summary.html

Yao Y; Cheung C-Y; Bao J; Welch B; Skyllas - Kazacos M; Akhmetov S; Banjab AJ; Kazacos M, 2023, METHOD FOR ESTIMATING DYNAMIC STATE VARIABLES IN AN ELECTROLYTIC CELL SUITABLE FOR THE HALL-HEROULT ELECTROLYSIS PROCESS, Patent No. CA3012166, Patent Agent:Canadian Patent Office, https://www.ic.gc.ca/opic-cipo/cpd/eng/patent/3012166/summary.html

Yao Y; Cheung C-Y; Bao J; Welch B; Skyllas - Kazacos M; Akhmetov S; Banjab AJ, 2022, Method for estimating dynamic state variables in an electrolytic cell suitable for the Hall-Heroult electrolysis process, Patent No. Gulf Cooperation Council - GC0011924

Preprints

Yan Y; Han S; Bao J; Huang B, 2026, Data-Driven Probabilistic Finite $\mathcal{L}_2$-Gain Stabilization of Stochastic Linear Systems, http://dx.doi.org/10.48550/arxiv.2604.13707

Liao Y; Wei L; Skyllas-Kazacos M; Bao J, 2026, Modelling, Experimental Validation and Control of Shunt Pipe Electrolyte Rebalancing for Vanadium Flow Batteries, http://dx.doi.org/10.2139/ssrn.6579662

Vijayaratnam PRS; Skyllas-Kazacos M; Bao J; Menictas C, 2026, Towards Net Zero: A Techno-Economic Comparison of Lithium Batteries and Vanadium Flow Batteries in a Western Australian Mine Site, http://dx.doi.org/10.2139/ssrn.7317111

Wong C-J; Larkin AA; Bao J; Skyllas-Kazacos M; Welch BJ; Ahli N; Faraj M; Mahmoud M, 2025, Optimisation of Power Modulation for Hall-Héroult Cells: Process Operability and Constraints as Virtual Energy Storage, http://dx.doi.org/10.48550/arxiv.2511.07893

Yan Y; Bao J; Huang B, 2023, Distributed Data-driven Predictive Control via Dissipative Behavior Synthesis, http://dx.doi.org/10.48550/arxiv.2303.00251

Wei L; McCloy R; Bao J, 2022, Discrete-time Contraction-based Control of Nonlinear Systems with Parametric Uncertainties using Neural Networks, http://dx.doi.org/10.48550/arxiv.2105.05432

McCloy R; Wei L; Bao J, 2022, A Contraction-constrained Model Predictive Control for Nonlinear Processes using Disturbance Forecasts, http://dx.doi.org/10.48550/arxiv.2205.04033

Wei L; McCloy R; Bao J, 2022, Adaptive Contraction-based Control of Uncertain Nonlinear Processes using Neural Networks, http://dx.doi.org/10.48550/arxiv.2201.12816

Wei L; McCloy R; Bao J, 2022, Contraction Analysis and Control Synthesis for Discrete-time Nonlinear Processes, http://dx.doi.org/10.48550/arxiv.2112.04699

McCloy R; Li Y; Bao J; Skyllas-Kazacos M, 2022, Electrolyte Flow Rate Control for Vanadium Redox Flow Batteries using the Linear Parameter Varying Framework, http://dx.doi.org/10.48550/arxiv.2201.12812

Tang JW; Yan Y; Bao J; Huang B, Big Data-driven Control of Nonlinear Processes through Dynamic Latent Variables using an Autoencoder, http://dx.doi.org/10.36227/techrxiv.171710237.79956036/v1

Wei L; McCloy R; Bao J; Cranney J, Discrete-time Contraction Constrained Nonlinear Model Predictive Control using Graph-based Geodesic Computation, http://dx.doi.org/10.22541/au.164892424.43881718/v1

Other

Yan Y; Bao J; Huang B, 2025, The Intrinsic State Variable in Fundamental Lemma and Its Use in Stability Design for Data-based Control, http://dx.doi.org/10.48550/arXiv.2501.12626

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